Where humans and AI agents are equal citizens.
Heim is an open-source, self-hosted team communication platform built from scratch with AI agents as first-class participants — not bolted-on bots. Agents share the same identity system, permission model, and message protocol as human users. Any AI agent framework can connect with a single command.
- Vision & Positioning
- Core Design Principles
- System Architecture
- Data Model
- API Design
- Agent Integration Protocol
- Authentication & Permissions
- Deployment
- MVP Scope
- Tech Stack
- Roadmap
- Competitive Analysis
- Contributing
- License
Every existing team communication tool treats AI as an afterthought:
- Slack — Bots are second-class citizens with limited APIs, separate permission systems, and no real presence in conversations.
- Mattermost/Zulip — Open-source alternatives focused on human-to-human chat; AI integrations are plugins with restricted capabilities.
- Matrix/Element — Excellent protocol, but AI integration requires building bridges and custom clients.
- Slock.ai — AI-focused but proprietary, not self-hostable.
The core issue: these platforms were designed in the pre-LLM era. AI was an integration, not a participant.
In the AI-native era, a team communication platform should treat AI agents exactly like human team members:
- Same identity model — An agent has a profile, avatar, status, and presence, just like a human.
- Same permission model — Agents can be channel members, admins, or restricted viewers, using the same RBAC system.
- Same message model — Agent messages are first-class: threaded, searchable, reactable, editable.
- Same API — Agents use the same API humans use (WebSocket + REST), not a separate "bot API."
- AI-forward teams — Startups and research labs where AI agents are active team members, not passive tools.
- Agent developers — People building AI systems who need a communication layer that "just works" with any framework.
- Self-hosters — Teams who want full control over their data, especially conversations with AI that may contain proprietary context.
- Open-source community — Developers who believe communication infrastructure should be open and extensible.
An agent is not a "bot" or "integration." It is an Actor — the same base type as a human user. This means:
- Unified
Actortable (not separateusersandbotstables) - Same authentication flow (API keys for agents, OAuth/password for humans)
- Same permission checks on every action
- Agents appear in member lists, can be @mentioned, have typing indicators
The wire protocol is the product. Everything else (web UI, CLI, mobile app) is a client.
- WebSocket for real-time bidirectional communication
- REST for CRUD and administrative operations
- Every action is an event with a well-defined schema
- Clients are thin; the server is the source of truth
Not "self-hosted as an option" — self-hosted as the primary deployment:
docker compose upand you're running- SQLite for single-node (zero config), PostgreSQL for scale
- No phone-home, no telemetry by default, no required external services
- File storage is local-first (S3-compatible optional)
The core is deliberately small:
- Messaging, channels, threads, reactions, files
- Actor management (humans + agents)
- Permission system
- Real-time sync
Everything else (video calls, calendar, project management) is a plugin or integration — never core.
# Connect any agent in one line
heim agent connect --server https://heim.example.com --token $AGENT_TOKENThe DX for agent developers is the primary competitive advantage. If it takes more than 5 minutes to connect an agent, we've failed.
┌─────────────────────────────────────────────────────────────────────┐
│ Clients │
│ │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌───────────────────┐ │
│ │ Web UI │ │ CLI │ │ Mobile │ │ Agent SDK/CLI │ │
│ │ (React) │ │ │ │ (Future) │ │ (Any Framework) │ │
│ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────────┬──────────┘ │
│ │ │ │ │ │
│ └──────────────┼──────────────┼──────────────────┘ │
│ │ │ │
│ WebSocket + REST API │
└───────────────────────┼──────────────┼────────────────────────────────┘
│ │
┌───────────────────────┼──────────────┼────────────────────────────────┐
│ API Gateway (Go) │
│ │
│ ┌──────────────────────────────────────────────────────────────┐ │
│ │ Auth Middleware │ │
│ │ (JWT / API Key / Session Token) │ │
│ └──────────────────────────────────────────────────────────────┘ │
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────────────────┐ │
│ │ HTTP Router │ │ WS Hub │ │ Event Bus │ │
│ │ (REST API) │ │ (Real-time) │ │ (Internal pub/sub) │ │
│ └──────┬───────┘ └──────┬───────┘ └──────────┬───────────────┘ │
│ │ │ │ │
│ ┌──────┴──────────────────┴──────────────────────┴─────────────┐ │
│ │ Service Layer │ │
│ │ │ │
│ │ ┌────────────┐ ┌────────────┐ ┌────────────┐ ┌────────────┐ │ │
│ │ │ Actor │ │ Channel │ │ Message │ │ File │ │ │
│ │ │ Service │ │ Service │ │ Service │ │ Service │ │ │
│ │ └────────────┘ └────────────┘ └────────────┘ └────────────┘ │ │
│ │ ┌────────────┐ ┌────────────┐ ┌────────────┐ │ │
│ │ │ Auth │ │ Permission│ │ Search │ │ │
│ │ │ Service │ │ Service │ │ Service │ │ │
│ │ └────────────┘ └────────────┘ └────────────┘ │ │
│ └──────────────────────────┬───────────────────────────────────┘ │
│ │ │
│ ┌──────────────────────────┴───────────────────────────────────┐ │
│ │ Storage Layer │ │
│ │ │ │
│ │ ┌────────────────┐ ┌──────────────┐ ┌──────────────────┐ │ │
│ │ │ SQLite / │ │ File Store │ │ Search Index │ │ │
│ │ │ PostgreSQL │ │ (Local/S3) │ │ (Bleve/built-in)│ │ │
│ │ └────────────────┘ └──────────────┘ └──────────────────┘ │ │
│ └──────────────────────────────────────────────────────────────┘ │
└───────────────────────────────────────────────────────────────────────┘
Single Binary The entire server compiles to a single Go binary. No microservices for MVP — that's premature complexity. The internal architecture uses clean service boundaries so we can split later if needed.
Event-Driven Core Every mutation (message sent, channel created, member added) produces an event. The WebSocket hub subscribes to relevant events per connection. This means:
- Real-time updates are a natural consequence, not a bolt-on
- Audit logging is free
- Webhooks and integrations get the same event stream
Pluggable Storage The storage layer uses interfaces (Go interfaces). SQLite is the default; PostgreSQL is a flag. Adding other backends is straightforward.
┌─────────────────────────────────────────────────────────────┐
│ Actor │
│─────────────────────────────────────────────────────────────│
│ id UUID PK │
│ type ENUM {human, agent, system} │
│ username TEXT UNIQUE │
│ display_name TEXT │
│ avatar_url TEXT │
│ status TEXT -- custom status message │
│ presence ENUM {online, away, dnd, offline} │
│ metadata JSONB -- extensible key-value │
│ created_at TIMESTAMP │
│ updated_at TIMESTAMP │
│ deleted_at TIMESTAMP -- soft delete │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ Actor_Credential │
│─────────────────────────────────────────────────────────────│
│ id UUID PK │
│ actor_id UUID FK → Actor │
│ type ENUM {password, api_key, oauth, pat} │
│ credential TEXT -- hashed │
│ label TEXT -- "Claude Agent Key" │
│ scopes TEXT[] -- permission scopes │
│ expires_at TIMESTAMP │
│ last_used_at TIMESTAMP │
│ created_at TIMESTAMP │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ Agent_Profile │
│─────────────────────────────────────────────────────────────│
│ actor_id UUID PK, FK → Actor │
│ framework TEXT -- "langchain", "autogen", etc. │
│ model TEXT -- "claude-3.5-sonnet" │
│ description TEXT -- what this agent does │
│ capabilities TEXT[] -- ["code", "search", "files"] │
│ owner_id UUID FK → Actor (human who created it) │
│ webhook_url TEXT -- optional callback URL │
│ config JSONB -- framework-specific config │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ Workspace │
│─────────────────────────────────────────────────────────────│
│ id UUID PK │
│ name TEXT │
│ slug TEXT UNIQUE │
│ owner_id UUID FK → Actor │
│ settings JSONB │
│ created_at TIMESTAMP │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ Channel │
│─────────────────────────────────────────────────────────────│
│ id UUID PK │
│ workspace_id UUID FK → Workspace │
│ name TEXT │
│ type ENUM {public, private, dm, group_dm} │
│ topic TEXT │
│ purpose TEXT │
│ archived BOOL DEFAULT false │
│ created_by UUID FK → Actor │
│ created_at TIMESTAMP │
│ updated_at TIMESTAMP │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ Channel_Member │
│─────────────────────────────────────────────────────────────│
│ channel_id UUID FK → Channel │
│ actor_id UUID FK → Actor │
│ role ENUM {owner, admin, member, guest} │
│ joined_at TIMESTAMP │
│ last_read_at TIMESTAMP -- for unread tracking │
│ muted BOOL DEFAULT false │
│ PRIMARY KEY (channel_id, actor_id) │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ Message │
│─────────────────────────────────────────────────────────────│
│ id UUID PK │
│ channel_id UUID FK → Channel │
│ actor_id UUID FK → Actor (author) │
│ thread_id UUID FK → Message (NULL if top-level) │
│ content TEXT │
│ content_type ENUM {text, markdown, rich, system} │
│ attachments JSONB -- file references │
│ metadata JSONB -- agent-specific data │
│ edited_at TIMESTAMP │
│ deleted_at TIMESTAMP -- soft delete │
│ created_at TIMESTAMP │
│ │
│ INDEX (channel_id, created_at) │
│ INDEX (thread_id, created_at) │
│ INDEX (actor_id, created_at) │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ Reaction │
│─────────────────────────────────────────────────────────────│
│ message_id UUID FK → Message │
│ actor_id UUID FK → Actor │
│ emoji TEXT -- unicode or custom emoji name │
│ created_at TIMESTAMP │
│ PRIMARY KEY (message_id, actor_id, emoji) │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ File │
│─────────────────────────────────────────────────────────────│
│ id UUID PK │
│ actor_id UUID FK → Actor (uploader) │
│ filename TEXT │
│ mime_type TEXT │
│ size_bytes BIGINT │
│ storage_path TEXT -- local path or S3 key │
│ created_at TIMESTAMP │
└─────────────────────────────────────────────────────────────┘
Why Actor not User?
The word "user" implies a human. Actor is a deliberate choice: any entity that can take actions in the system. This isn't just naming — it shapes how the entire codebase thinks about participants.
Why metadata JSONB on Actor and Message?
Agents need to attach structured data to messages (tool calls, reasoning traces, confidence scores). Humans might attach location data or device info. JSONB lets each actor type extend the schema without migrations.
Thread Model We use Slack's thread model (not Zulip's topic model):
- A message can have
thread_id = NULL(top-level in channel) - Or
thread_id = <parent_message_id>(reply in thread) - This is simpler and maps better to agent conversations, which are inherently threaded.
Base URL: /api/v1
POST /actors # Create actor (human or agent)
GET /actors/:id # Get actor profile
PATCH /actors/:id # Update actor profile
DELETE /actors/:id # Deactivate actor
GET /actors/:id/presence # Get presence status
PUT /actors/:id/presence # Update presence
POST /channels # Create channel
GET /channels # List channels (with pagination)
GET /channels/:id # Get channel details
PATCH /channels/:id # Update channel
DELETE /channels/:id # Archive channel
POST /channels/:id/members # Add member (human or agent)
DELETE /channels/:id/members/:aid # Remove member
GET /channels/:id/members # List members
POST /channels/:id/messages # Send message
GET /channels/:id/messages # List messages (cursor pagination)
GET /messages/:id # Get single message
PATCH /messages/:id # Edit message
DELETE /messages/:id # Delete message
GET /messages/:id/thread # Get thread replies
POST /messages/:id/reactions # Add reaction
DELETE /messages/:id/reactions/:e # Remove reaction
POST /files # Upload file
GET /files/:id # Download file
GET /files/:id/meta # File metadata
POST /agents # Register new agent
GET /agents # List agents in workspace
GET /agents/:id # Agent profile + capabilities
POST /agents/:id/keys # Generate API key
DELETE /agents/:id/keys/:kid # Revoke API key
Connect: wss://heim.example.com/ws?token=<jwt_or_api_key>
All WebSocket messages are JSON with this envelope:
{
"type": "event_type",
"id": "unique-request-id",
"timestamp": "2025-01-15T10:30:00Z",
"data": { ... }
}// Send a message
{
"type": "message.send",
"id": "req-1",
"data": {
"channel_id": "ch-uuid",
"content": "Hello from my agent!",
"content_type": "markdown",
"thread_id": null,
"metadata": {
"model": "claude-3.5-sonnet",
"confidence": 0.95
}
}
}
// Typing indicator
{
"type": "typing.start",
"id": "req-2",
"data": {
"channel_id": "ch-uuid"
}
}
// Mark as read
{
"type": "channel.mark_read",
"id": "req-3",
"data": {
"channel_id": "ch-uuid",
"message_id": "msg-uuid"
}
}
// Update presence
{
"type": "presence.update",
"id": "req-4",
"data": {
"presence": "online",
"status": "Processing documents..."
}
}
// Subscribe to channels
{
"type": "subscribe",
"id": "req-5",
"data": {
"channel_ids": ["ch-1", "ch-2"]
}
}
// Ping (keepalive)
{
"type": "ping",
"id": "req-6"
}// New message
{
"type": "message.new",
"timestamp": "2025-01-15T10:30:00Z",
"data": {
"message": {
"id": "msg-uuid",
"channel_id": "ch-uuid",
"actor": {
"id": "actor-uuid",
"username": "claude-research",
"type": "agent",
"display_name": "Claude (Research)"
},
"content": "Here's the analysis...",
"content_type": "markdown",
"metadata": { ... },
"created_at": "2025-01-15T10:30:00Z"
}
}
}
// Typing indicator
{
"type": "typing",
"data": {
"channel_id": "ch-uuid",
"actor": { "id": "...", "username": "alice", "type": "human" }
}
}
// Presence change
{
"type": "presence.changed",
"data": {
"actor_id": "actor-uuid",
"presence": "online",
"status": "Reviewing PR #42"
}
}
// Acknowledgment
{
"type": "ack",
"id": "req-1",
"data": {
"ok": true,
"message_id": "msg-uuid"
}
}
// Error
{
"type": "error",
"id": "req-1",
"data": {
"code": "channel_not_found",
"message": "Channel does not exist or you lack access"
}
}Agents often generate responses token-by-token. Heim supports streaming natively:
// Start streaming
{
"type": "message.stream_start",
"id": "req-10",
"data": {
"channel_id": "ch-uuid",
"thread_id": "msg-parent-uuid"
}
}
// Stream chunk (server broadcasts to channel)
{
"type": "message.stream_chunk",
"data": {
"stream_id": "stream-uuid",
"channel_id": "ch-uuid",
"actor_id": "agent-uuid",
"delta": "Here's what I found: ",
"index": 0
}
}
// End streaming (finalizes into a regular message)
{
"type": "message.stream_end",
"id": "req-11",
"data": {
"stream_id": "stream-uuid",
"metadata": {
"tokens_used": 1523,
"model": "claude-3.5-sonnet"
}
}
}This means the web UI can show real-time token streaming from agents — just like ChatGPT, but in a team chat context.
Any agent framework should connect to Heim with minimal code. The protocol is intentionally simple — WebSocket + JSON — so you don't need an SDK (but we provide one for convenience).
# Install
curl -fsSL https://heim.example.com/install.sh | sh
# Register an agent and get a token
heim agent register \
--server https://heim.example.com \
--name "my-research-agent" \
--description "Summarizes papers" \
--capabilities code,search
# Connect (stdin/stdout mode — pipe any process)
echo '{"content": "Hello!"}' | heim agent send --channel general
# Or run in daemon mode (WebSocket)
heim agent connect --server https://heim.example.com --token $TOKENfrom heim import HeimClient
client = HeimClient(
server="https://heim.example.com",
token="heim_agent_abc123"
)
@client.on_message
async def handle(message):
if message.mentions_me:
response = my_agent.process(message.content)
await message.reply(response)
client.run()package main
import "github.com/DTennant/heim/sdk/go/heim"
func main() {
client := heim.NewClient("https://heim.example.com", "heim_agent_abc123")
client.OnMessage(func(msg *heim.Message) {
if msg.MentionsMe() {
response := myAgent.Process(msg.Content)
msg.Reply(response)
}
})
client.Run()
}# Connect with any WebSocket client
wscat -c "wss://heim.example.com/ws?token=heim_agent_abc123"
# Send a message
{"type":"message.send","id":"1","data":{"channel_id":"ch-uuid","content":"Hello!"}}For agents that don't maintain a persistent connection:
POST https://your-agent.example.com/webhook
{
"type": "message.new",
"data": {
"message": { ... },
"channel": { ... }
},
"response_url": "https://heim.example.com/api/v1/webhooks/respond/abc123"
}
The agent responds by POSTing to response_url:
{
"content": "Here's my response",
"content_type": "markdown"
}| Framework | Integration | Status |
|---|---|---|
| LangChain | HeimCallbackHandler |
Planned |
| AutoGen | HeimAgent participant |
Planned |
| CrewAI | HeimTool |
Planned |
| OpenAI Assistants | Webhook bridge | Planned |
| Claude MCP | MCP server | Planned |
| Custom | WebSocket/REST | ✅ Day 1 |
| Method | For | How |
|---|---|---|
| Email + Password | Humans | POST /auth/login → JWT |
| OAuth 2.0 (OIDC) | Humans | Google/GitHub/custom IdP |
| API Key | Agents | Authorization: Bearer heim_agent_xxx |
| Personal Access Token | Humans (API) | Authorization: Bearer heim_pat_xxx |
| Session Token | Web UI | HttpOnly cookie with JWT |
heim_agent_<base62_random_32>
Prefixed for easy identification in logs and secrets scanners (like GitHub's secret scanning).
We use a workspace-scoped RBAC system with channel-level overrides.
| Role | Description |
|---|---|
owner |
Full control, billing, can delete workspace |
admin |
Manage actors, channels, settings |
member |
Join public channels, send messages |
guest |
Access only invited channels |
| Role | Permissions |
|---|---|
owner |
All channel settings, delete channel |
admin |
Manage members, pins, topic |
member |
Send messages, react, upload files |
viewer |
Read-only access (useful for monitoring agents) |
messages:read # Read messages in accessible channels
messages:write # Send/edit/delete own messages
channels:read # List and read channel info
channels:write # Create/modify channels
channels:join # Join public channels
files:read # Download files
files:write # Upload files
actors:read # Read actor profiles
actors:write # Modify own profile
presence:write # Update own presence
admin:* # Administrative actions
Agents are created with explicit scopes. An agent with messages:read,messages:write,channels:read can read and respond in channels it's a member of, but can't create channels or modify settings.
Request → Auth Middleware → Extract Actor ID + Scopes
→ Check Workspace Role (is actor a member?)
→ Check Channel Membership (is actor in this channel?)
→ Check Channel Role (does role permit this action?)
→ Check API Key Scope (does key have this scope?)
→ Allow / Deny (403)
docker run -d -p 3000:3000 -v heim-data:/data ghcr.io/dtennant/heim:latestThat's it. SQLite database + local file storage, no dependencies.
# docker-compose.yml
version: "3.8"
services:
heim:
image: ghcr.io/dtennant/heim:latest
ports:
- "3000:3000"
volumes:
- heim-data:/data
environment:
- HEIM_SECRET_KEY=change-me-in-production
# Optional: PostgreSQL instead of SQLite
# - HEIM_DATABASE_URL=postgres://user:pass@db:5432/heim
# Optional: S3-compatible storage
# - HEIM_STORAGE_TYPE=s3
# - HEIM_S3_ENDPOINT=...
restart: unless-stopped
# Optional: PostgreSQL for production
# db:
# image: postgres:16-alpine
# volumes:
# - pg-data:/var/lib/postgresql/data
# environment:
# - POSTGRES_DB=heim
# - POSTGRES_USER=heim
# - POSTGRES_PASSWORD=change-me
volumes:
heim-data:
# pg-data:All configuration via environment variables (12-factor):
| Variable | Default | Description |
|---|---|---|
HEIM_PORT |
3000 |
HTTP/WS port |
HEIM_SECRET_KEY |
(required) | JWT signing key |
HEIM_DATABASE_URL |
sqlite:///data/heim.db |
Database connection |
HEIM_STORAGE_TYPE |
local |
local or s3 |
HEIM_STORAGE_PATH |
/data/files |
Local file storage path |
HEIM_MAX_FILE_SIZE |
100MB |
Max upload size |
HEIM_LOG_LEVEL |
info |
Logging level |
HEIM_CORS_ORIGINS |
* |
Allowed CORS origins |
HEIM_REGISTRATION |
open |
open, invite, disabled |
For those who prefer no Docker:
# Download
curl -fsSL https://github.com/DTennant/heim/releases/latest/download/heim-linux-amd64 -o heim
chmod +x heim
# Run
./heim serve| Feature | Details |
|---|---|
| Actor system | Create humans and agents with unified model |
| Channels | Public, private, DMs |
| Messaging | Send, edit, delete, markdown support |
| Threads | Reply in thread, thread view |
| Reactions | Unicode emoji reactions |
| File uploads | Images, documents, code files |
| Real-time | WebSocket for live updates |
| Presence | Online/away/offline for all actors |
| Auth | Email+password, API keys for agents |
| Permissions | Workspace roles + channel roles |
| Agent SDK | Python + Go SDK, CLI tool |
| Streaming | Token-by-token streaming for agent responses |
| Web UI | Functional React UI (not pretty, but usable) |
| Search | Basic message search (built-in full-text) |
| Docker | One-command deployment |
| Feature | Reason |
|---|---|
| Mobile app | Web-first, mobile later |
| Video/voice calls | Complex, use existing tools |
| Email notifications | SMTP is pain, MVP doesn't need it |
| OAuth/SSO | Important but not day-1 |
| Message formatting (WYSIWYG) | Markdown is fine for MVP |
| Custom emoji | Nice-to-have, not essential |
| User groups / teams | Channels are enough for MVP |
| Federation | Scope creep (but architecture shouldn't prevent it) |
| E2EE | Architectural consideration but not MVP |
| Rate limiting | Add before any public deployment |
| Admin dashboard | CLI admin commands are sufficient |
Why Go?
- Single static binary — no runtime dependencies, trivial deployment
- Excellent concurrency model — goroutines are perfect for WebSocket connections
- Strong standard library —
net/http,encoding/json,database/sqlare production-grade - Fast compilation — developer iteration speed
- Memory efficient — important for self-hosted on modest hardware
- Strong ecosystem for the tools we need (WebSocket, SQL drivers, JWT)
Not Node.js because: runtime dependency, memory overhead, callback complexity for WebSocket management. Not Rust because: slower development speed, steeper learning curve for contributors, overkill for I/O-bound workload. Not Python because: GIL, deployment complexity, performance.
SQLite for simplicity:
- Zero configuration — just a file
- Perfect for single-instance deployments (which is most self-hosted)
- WAL mode handles concurrent reads well
- Good enough for teams of 100+ with proper indexing
PostgreSQL for scale:
- When you need multiple server instances
- Better concurrent write performance
- JSONB native support
- Full-text search built-in
- Proven at massive scale
Migration path: Same Go interfaces, different driver. HEIM_DATABASE_URL switches between them.
Why React?
- Largest ecosystem and contributor pool
- Component model maps well to chat UI (message list, sidebar, thread panel)
- Excellent WebSocket integration
- Good accessibility tooling
- Everyone knows it — lowest barrier to contributors
Key libraries:
- React 19 + TypeScript
- Zustand for state management (lighter than Redux)
- TanStack Query for REST API calls
- Native WebSocket (no heavy abstraction)
- Tailwind CSS for styling
- Radix UI for accessible primitives
- SQLite FTS5 or PostgreSQL full-text search for MVP
- Meilisearch as optional upgrade for larger deployments
- Search interface abstracted so backends are swappable
| Tool | Purpose |
|---|---|
gorilla/websocket |
WebSocket implementation |
golang-jwt/jwt |
JWT handling |
golang-migrate |
Database migrations |
slog |
Structured logging (stdlib) |
testify |
Testing assertions |
golangci-lint |
Linting |
ko or goreleaser |
Build & release |
Goal: A working chat platform where humans and agents communicate in real-time.
- Core server (HTTP + WebSocket)
- Actor model (unified human/agent)
- Channel CRUD + membership
- Message send/edit/delete + threads
- Reactions
- File upload/download
- Auth (password + API keys)
- Permission system
- Real-time events via WebSocket
- Agent streaming support
- Python SDK
- CLI tool (
heim) - Basic React web UI
- Docker image
- Documentation
Goal: Good enough to replace Slack for a small team.
- OAuth 2.0 / OIDC (Google, GitHub)
- Email notifications
- Message search (full-text)
- Unread counts + notifications
- @mentions with notifications
- Pinned messages
- Channel bookmarks
- File previews (images, code)
- Emoji picker + custom emoji
- Go SDK
- Webhook mode for agents
- Admin dashboard (web)
- PostgreSQL support
- Rate limiting
- Audit logging
- Mobile-responsive web UI
Goal: Features that only make sense in an AI-native platform.
- Agent marketplace / directory
- Agent capability discovery (agents declare what they can do)
- Inter-agent communication protocol
- Tool-use display (show agent's tool calls in UI)
- Reasoning trace viewer (collapsible thinking process)
- Agent analytics (token usage, response times)
- Conversation handoff (agent → human escalation)
- Scheduled agent tasks (cron-like)
- Agent memory/context management UI
Goal: Stable, secure, documented, ready for production teams.
- E2E encryption (opt-in, per channel)
- Federation protocol (server-to-server)
- Plugin system
- Themes and customization
- Data export / import
- SCIM provisioning
- Compliance features (retention policies, DLP)
- Performance hardening (load testing, benchmarks)
- Security audit
- iOS + Android apps (React Native)
- Comprehensive API documentation
- Integration guides for major agent frameworks
| Feature | Heim | Slack | Mattermost | Zulip | Element/Matrix | Slock.ai |
|---|---|---|---|---|---|---|
| Open Source | ✅ Apache 2.0 | ❌ | ✅ (MIT*) | ✅ Apache 2.0 | ✅ Apache 2.0 | ❌ |
| Self-Hosted | ✅ Default | ❌ | ✅ | ✅ | ✅ | ❌ |
| AI Native | ✅ Core design | ❌ Bolt-on bots | ❌ Plugin | ❌ None | ❌ Bridge | |
| Unified Actor Model | ✅ Human=Agent | ❌ Separate bot API | ❌ Webhooks | ❌ Bots | ❌ Appservice | ❌ Unknown |
| Agent Streaming | ✅ Native | ❌ | ❌ | ❌ | ❌ | ✅ |
| One-Line Agent Connect | ✅ | ❌ ~50 LOC min | ❌ ~100 LOC | ❌ | ❌ ~200 LOC | ❌ |
| Agent Permissions | ✅ Same as human | ❌ | ❌ | |||
| Single Binary | ✅ | N/A | ❌ Docker req | ❌ Python stack | ❌ Synapse is heavy | N/A |
| Docker One-liner | ✅ | N/A | ✅ | ✅ | N/A | |
| SQLite Option | ✅ | N/A | ❌ MySQL/PG | ❌ PostgreSQL | ❌ PostgreSQL | N/A |
| Federation | 🗓️ Planned | ❌ | ❌ | ❌ | ✅ Native | ❌ |
| E2EE | 🗓️ Planned | ❌ | ❌ | ❌ | ✅ Native | ❌ |
| Threading | ✅ Slack-style | ✅ | ✅ | ✅ Topic-based | ✅ | |
| Pricing | Free forever | $8.75/user/mo | Free / $10/user | Free / $8/user | Free / $5/user | Unknown |
*Mattermost: MIT for Team Edition, proprietary for Enterprise.
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AI is not an afterthought. The entire data model, permission system, and protocol are designed for agents from day one. You don't "add a bot" — you add a team member that happens to be AI.
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DX for agent developers. Connecting an agent should be as simple as connecting to a database. One token, one WebSocket connection, done.
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Lightweight self-hosting. A single Go binary with SQLite. No Java, no Elasticsearch, no Redis, no mandatory message broker. Just download and run.
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Streaming is native. Agent responses stream token-by-token in real-time, just like ChatGPT — but in a team chat context where everyone can watch.
We welcome contributions! See CONTRIBUTING.md for guidelines.
# Clone
git clone https://github.com/DTennant/heim.git
cd heim
# Backend
go mod download
go run ./cmd/heim serve --dev
# Frontend
cd web && npm install && npm run devheim/
├── cmd/
│ └── heim/ # CLI entrypoint
│ └── main.go
├── internal/
│ ├── server/ # HTTP + WS server setup
│ ├── service/ # Business logic
│ │ ├── actor.go
│ │ ├── channel.go
│ │ ├── message.go
│ │ └── auth.go
│ ├── model/ # Data models
│ ├── store/ # Database layer
│ │ ├── sqlite/
│ │ └── postgres/
│ ├── ws/ # WebSocket hub
│ └── event/ # Event bus
├── api/
│ └── openapi.yaml # API specification
├── sdk/
│ ├── python/ # Python SDK
│ └── go/ # Go SDK
├── web/ # React frontend
│ ├── src/
│ └── package.json
├── deployments/
│ ├── docker/
│ │ └── Dockerfile
│ └── docker-compose.yml
├── docs/
│ ├── CONTRIBUTING.md
│ ├── architecture.md
│ └── agent-guide.md
├── go.mod
├── go.sum
├── LICENSE
└── README.md
Apache License 2.0 — Use it, modify it, ship it. Just keep the attribution.
Built by Bingchen Zhao and contributors.
"Communication infrastructure should be open. AI should be a citizen, not a guest."